scholarly journals Impact of Learning Motivation, Cognitive and Self-Efficacy in Improving Learning Quality E-Learning in Industrial Era 4.0

2019 ◽  
Vol 1339 ◽  
pp. 012081
Author(s):  
Ramdani Bayu Putra ◽  
Elfiswandi ◽  
Muhammad Ridwan ◽  
Sitti Rizki Mulyani ◽  
Dharma Syahrullah Ekajaya ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Learning Motivation ◽  
E Learning

scholarly journals Factors Affecting Students’ Preferences for Online and Blended Learning: Motivational Vs. Cognitive

2020 ◽  
Vol 22 (2) ◽  
pp. 72-86 ◽  
Author(s):  
Sinan Keskin ◽  
Halil Yurdugül
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Learning Environments ◽  
Self Efficacy ◽  
Teaching And Learning ◽  
Learning Motivation ◽  
Task Value ◽  
Individual Factors ◽  
E Learning ◽  
The Individual

AbstractToday’s educational institutions are expected to create learning opportunities independent of time and place, to offer easily accessible learning environments and interpersonal communication opportunities. Accordingly, higher education institutions develop strategies to meet these expectations through teaching strategies, such as e-learning, blended learning, mobile learning, etc., by using teaching technologies. These new technology-based teaching strategies are mainly shaped by decision-makers in education. This study seeks to analyse the individual factors that affect learners’ mode of teaching and learning delivery preferences. In this study, blended and online learning is considered as preferences of learners’ mode of teaching and learning delivery. The individual factors discussed in this research are cognitive learning strategies, e-learning readiness, and motivation. The data were obtained from the pre-service teachers at the end of the academic semester when they experienced online and blended learning. Data were analysed using optimal scaling analysis. The analysis method provides a two-dimensional centroid graph which shows the correlations between the variable categories. According to study findings, there is a correlation between the preferences of the learning environment, and the constructs of self-efficacy, e-learning motivation, and task value. It can be said that the motivational variables are more effective in the learning environment preference. The students with high task value, e-learning motivation, and self-efficacy preferred studying in blended learning environments. Cognitive strategies, self-directed learning, learner control, and test anxiety factors are independent of the learners’ learning delivery preferences.

scholarly journals Hubungan Efikasi Diri dan Motivasi Belajar Terhadap Hasil Belajar Berbasis E-Learning pada Mahasiswa Program Studi Pendidikan Matematika Universitas Flores

2020 ◽  
Vol 6 (2) ◽  
pp. 275
Author(s):  
Lely Suryani ◽  
Stefania Baptis Seto ◽  
Maria Goretty D. Bantas
Keyword(s):  
Learning Outcomes ◽  
Self Efficacy ◽  
Quantitative Research ◽  
Positive Impact ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Positive Influence ◽  
Learning Motivation ◽  
Online Questionnaire ◽  
E Learning

The objective of this study is to explore the correlation between self-efficacy and learning motivation towards the learning outcomes based on e-learning among the 4th semester students of mathematics education program, Universitas Flores. The research method used in this study was quantitative research with Linear Regression Analysis use of SPPS involving 40 students of the 4th semester randomly chosen. Data were collected through online questionnaire with Google Form. The Kolmogorov-Smirnov analysis and hypothesis testing with Bivariate Pearson Correlation through SPSS were used. The findings showed that self-efficacy (X1) and learning motivation (X2) had a positive impact towards learning outcomes based on e-learning (Y), as a result from the correlation analysis from R for X1 against Y= 0.895 and X2 against Y=0.923, and significant value between X1 and X2 against Y resulted with (**). Therefore, there was a positive influence with 1% significant. In the other words, the more increase or the better the self-efficacy and learning motivation are, the more increase the learning outcomes from the students.

scholarly journals The Empirical Study of College Students’ E-Learning Effectiveness and Its Antecedents Toward the COVID-19 Epidemic Environment

2021 ◽  
Vol 12 ◽  
Author(s):  
Cai-Yu Wang ◽  
Yuan-Yuan Zhang ◽  
Shih-Chih Chen
Keyword(s):  
College Students ◽  
Self Efficacy ◽  
Learning Strategy ◽  
Positive Influence ◽  
Learning System ◽  
Learning Motivation ◽  
Learning Effectiveness ◽  
E Learning ◽  
The Impact ◽  
Significant Positive Influence

Due to the impact of COVID-19, universities are forced to suspend their classes, which begin to depend on the usage of online teaching. To investigate the relationship among e-learning self-efficacy, monitoring, willpower, attitude, motivation, strategy, and the e-learning effectiveness of college students in the context of online education during the outbreak of COVID-19. A 519 first- to fifth-year undergraduate students from a medical university were selected for the research in this study. Structural equation model (SEM) was used for a data analysis, which led to the results showing that: (1) e-learning self-efficacy and monitoring have significant positive influence on e-learning strategy, and indirectly influence e-learning effectiveness through e-learning strategy; (2) e-learning willpower and attitude have a significant positive influence on e-learning motivations, and indirectly influence e-learning effectiveness through e-learning motivation and strategy; (3) e-learning motivation is having significant influence on e-learning effectiveness, while e-learning strategy is playing a mediating role; (4) There is a significant positive correlation between e-learning strategy and e-learning effectiveness; and (5) The presence of e-learning experience has a moderating influence on e-learning effectiveness as well as its influential factors. Results from this study provide the necessary information as to how higher education institutions and students can enhance students’ effectiveness of the e-learning system in order to support the usage of online technologies in the learning and teaching process. These results offer important implications for online learning effectiveness.

Learning Motivation in E-Learning Questionnaire

2010 ◽  
Author(s):  
Kris M. Y. Law ◽  
Victor C. S. Lee ◽  
Y. T. Yu
Keyword(s):  
Learning Motivation ◽  
E Learning

scholarly journals Exploring the relationship between students' learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: A cross-sectional study

2021 ◽  
Author(s):  
Monira I. Aldhahi ◽  
Abdulfattah S. Alqahtani ◽  
Baian A. Baattaiah ◽  
Huda I. Al-Mohammed
Keyword(s):  
Online Learning ◽  
Time Management ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Learning Satisfaction ◽  
High Satisfaction ◽  
E Learning ◽  
Students Satisfaction ◽  
Remote Learning

AbstractThe overarching objective of this study was to assess learning satisfaction among students and to determine whether online-learning self-efficacy was associated with online learning satisfaction during the emergency transition to remote learning. This cross-sectional study involved a survey distributed to 22 Saudi Arabian universities. The survey used in this study consisted of an online learning self-efficacy (OLSE) questionnaire and an electronic learning (e-learning) satisfaction questionnaire. A total of 1,226 respondents voluntarily participated in and completed the survey. Students in medical fields made up 289 (23.6%). A Kruskal–Wallis H test and a chi-square test were used to compare the student’s satisfaction based on the educational variables. Spearman’s correlation and multiple linear regression analyses were performed to assess the association between self-efficacy and satisfaction. The findings revealed degrees of satisfaction ranging between high satisfaction and dissatisfaction. The majority of students (51%) expressed high satisfaction, and 599 students (49%) reported experiencing a low level of satisfaction with e-learning. A comparison of groups with low and high satisfaction scores revealed a significant difference in the OLSE. High satisfaction was positively correlated with the OLSE domains: time management, technology, and learning. The OLSE regression analysis model significantly predicted satisfaction. It showed that the model, corrected for education level and grade point average of the students, significantly predicted e-learning satisfaction (F = 8.04, R2 = 0.59, p = .004). The study concluded that students’ satisfaction with the e-learning experience is influenced by e-learning self-efficacy. The study’s findings lead to the practical implications and identify the need to improve the remote learning, time management and technology self-efficacy to enhance students’ satisfaction.

scholarly journals The Differentiate Effect of Self-Efficacy, Motivation, and Satisfaction on Pre-Service Teacher Students’ Learning Achievement in a Flipped Classroom: A Case of a Modern Educational Technology Course

2021 ◽  
Vol 13 (5) ◽  
pp. 2888
Author(s):  
Li Zhao ◽  
Xiaohong Liu ◽  
Yu-Sheng Su
Keyword(s):  
Educational Technology ◽  
Self Efficacy ◽  
Flipped Classroom ◽  
Learning Motivation ◽  
Control Group ◽  
Learning Achievement ◽  
Learning Satisfaction ◽  
Teacher Students ◽  
Pre Service Teacher ◽  
Experimental Group

To analyze how variability changes over time can enhance the understanding of how learners’ self-efficacy, motivation, and satisfaction is controlled and why differences might exist among groups of individuals. Therefore, this study compared the effect of variability on pre-service teacher students in the flipped classroom approach with a course named modern educational technology (MET). In total, 77 students in two groups participated in this study. Learners in the experimental group received the flipped classroom treatment. Learners in the control group received the traditional lecture-centered instructional approach. The learning outcomes were evaluated by practice assignment, transfer assignment, and student perception survey. The survey includes the evaluation of learning satisfaction, self-efficacy, and learning motivation. Pre-test and post-test were conducted by the two groups. The data analysis results applied analysis of variance (ANOVA) or analysis of covariance (ANCOVA) and revealed that the experimental group displayed a better learning achievement than the control group. The experimental group participants’ perception also showed variability (i.e., learning satisfaction, self-efficacy, and learning motivation) was better than the control group. Considering the overall study results, the flipped classroom model can be applied in the pre-service teacher students’ modern educational technology course.

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